Computational Intelligence in Data-Driven Modelling and Its Engineering Applications

[...]artificial neural networks (ANNs) and fuzzy rule-based systems (FRBSs) serve as fundamental model frameworks, which are alternatives to statistical inference methods. The accepted papers involve a variety of data-driven modelling and data analytics techniques and contribute to a wide range of application areas, including transportation, environment, telecommunication, automatic control, product design, and finance. Q. Wang et al. combined the partial least square (PLS) approach with the back-propagation neural network (BPNN) and the radial basis function neural network (RBFNN) to predict short-term wind power.